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# Database Engineer [$288k/yr+] TS/SCI-CI Poly

- **Company:** SYSTOLIC, INC.
- **Location:** United States
- **Salary:** $288,000.0
- **Contract:** Temporary contract
- **Skills:** Testing (Software), Big Data, Databases, Data Flow Control, Information Model, Systems Analysis, Software Architecture, Software Systems, Information Technology
- **Published:** July 16, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9034060/database-engineer-288kyr-tssci-ci-poly

## About the Role

Degree: Minimum B.S Degree, Mathematics, Engineering or Computer Science
Years of experience: 12+ years
Salary: $288k+ yearly compensation, pending final rate confirmation

## Description

* Lead the full lifecycle development of complex technical software systems, from design to installation and maintenance.
 * Create comprehensive technical documentation for software systems and processes.
 * Design and engineer robust databases and enterprise architectures, specifically for analysis systems.
 * Implement system information modeling and develop web-based solutions.
 * Oversee and optimize dataflow within complex systems.
 * Apply advanced principles of mathematics and engineering to solve complex technical challenges., * Perform full-stack software development, including design, coding, testing, installation, and maintenance.
 * Conduct thorough software testing and quality assurance activities.
 * Develop and maintain technical documentation, user manuals, and system specifications.
 * Design, implement, and manage database systems.
 * Define and evolve enterprise architecture and software architecture for complex analysis systems.
 * Develop and integrate web-based services and applications.
 * Manage and optimize dataflow processes across various systems.
 * Apply advanced mathematical and electrical engineering principles to system design and problem-solving.
 * Utilize expertise in system information modeling.
 * Experience creating technology solutions which are performant and within the bounds of customer budgetary constraints.
 * Experience fusing large datasets to reveal new insights or conclusions within compute constraints.


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